% 中文文献
@book{bib01,
title={驾驶疲劳机理与预警技术},
author={李华 and 王睿},
publisher={交通科学出版社},
year={2018},
}

@article{bib02,
title={多模态生理信号在驾驶疲劳检测中的应用进展},
author={陈帆 and 刘颖},
journal={人因工程学报},
volume={15},
number={3},
pages={112-120},
year={2020},
}

@article{zhou2017,
title={驾驶人认知分心识别随机森林模型研究},
author={周扬 and 付锐 and 袁伟 and 王栋 and 张瑞宾},
journal={中国安全科学学报},
year={2017},
}

@article{yang2024,
title={驾驶员疲劳驾驶检测研究综述},
author={杨巨成 and 魏峰 and 林亮 and 贾庆祥 and 刘建征},
journal={山东大学学报(工学版)},
year={2024},
}

@article{ma2014,
title={基于驾驶人分心影响程度的驾驶分心任务评级},
author={马勇 and 付锐 and 袁钰},
journal={交通信息与安全},
volume={32},
number={5},
pages={47-57},
year={2014},
}

@article{li2010,
title={疲劳驾驶与交通事故关系},
author={李都厚 and 刘群 and 袁伟},
journal={交通运输工程学报},
volume={10},
number={2},
pages={104-109},
year={2010},
}

@phdthesis{qu2013,
title={基于转向操作和车辆状态的疲劳驾驶检测方法研究},
author={屈肖蕾},
school={清华大学},
year={2013},
}

@phdthesis{zhang2015,
title={机器视觉感知下的车辆主动安全技术若干问题研究},
author={张万枝},
school={山东大学},
year={2015},
}

@phdthesis{mao2011,
title={机动车疲劳驾驶行为识别方法研究},
author={毛喆喆},
school={武汉理工大学},
year={2011},
}

@article{jiang2023,
title={基于PERCLOS的列车司机疲劳检测设计与实现},
author={江跃龙 and 张铭智},
journal={计算机时代},
number={4},
pages={112-115},
year={2023},
}

@article{cai2020,
title={基于车辆运行数据的疲劳驾驶状态检测},
author={蔡素贤 and 杜超坎 and 周思毅},
journal={交通运输系统工程与信息},
volume={20},
number={4},
pages={77-82},
year={2020},
}

@article{fang2023,
title={多特征融合的驾驶员疲劳状态检测方法},
author={方浩杰 and 董红召 and 林少轩},
journal={浙江大学学报(工学版)},
volume={57},
number={7},
pages={1287-1296},
year={2023},
}

@phdthesis{zhang2023,
title={基于脑电与眼电融合的便携式疲劳驾驶检测方法优化},
author={张弯},
school={西安理工大学},
year={2023},
}

% 英文文献
@inproceedings{bacccour2019,
title={Camera-based eye blink detection algorithm for assessing driver drowsiness},
author={Bacccour, Mohamed Hedi and Driewer, Felix and Kasnec, Erik},
booktitle={2019 IEEE Intelligent Vehicles Symposium (IV)},
pages={987--993},
year={2019},
organization={IEEE}
}

@article{lee2023,
title={LSTM-CNN model of drowsiness detection from multiple consciousness states acquired by EEG},
author={Lee, Changbum and An, Jaeyong},
journal={Expert Systems with Applications},
volume={213},
pages={119032},
year={2023},
publisher={Elsevier}
}

@inproceedings{gangadharan2021,
title={A nonlinear penalty driven adaptive thresholding algorithm for drowsiness detection using EEG},
author={Gangadharan, Sreekanth K and Vinod, A P},
booktitle={2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART)},
pages={1--4},
year={2021},
organization={IEEE}
}

@article{gromer2019,
title={ECG sensor for detection of driver's drowsiness},
author={Gromer, Manuel and Salb, Dominik and Walzer, Tony and Seiter, Johannes and Lohm{"u}ller, Benjamin and Kappes, Sebastian and Marx, Dominik and Udvarhelyi, Martin and Popp, J{"u}rgen and Cvejn, Jan},
journal={Procedia Computer Science},
volume={159},
pages={1938--1946},
year={2019},
publisher={Elsevier}
}

@inproceedings{hayawi2019,
title={Driver's drowsiness monitoring and alarming auto-system based on EOG signals},
author={Hayawi, Ahmed A and Waleed, Jaafar},
booktitle={2019 2nd International Conference on Engineering Technology and its Applications (IICETA)},
pages={214--218},
year={2019},
organization={IEEE}
}

@article{lawoyin2015,
title={Accelerometer-based steering-wheel movement monitoring for drowsy-driving detection},
author={Lawoyin, Samuel and Fei, Ding-Yu and Bai, Ou},
journal={Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering},
volume={229},
number={2},
pages={163--173},
year={2015},
publisher={SAGE Publications Sage UK: London, England}
}

@inproceedings{zhen2017,
title={Driver drowsiness detection based on time series analysis of steering wheel angular velocity},
author={Zhen, Huang Gui and Din, Li and Hong, Yu Hong and Zhang, Wei},
booktitle={2017 9th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)},
pages={99--101},
year={2017},
organization={IEEE}
}

@article{bai2021,
title={Two-stream spatial-temporal graph convolutional networks for driver drowsiness detection},
author={Bai, Junwen and Yu, Wen and Xiao, Zhi and Yang, Xiaojun and Zeng, Wei and Wang, Shiqi},
journal={IEEE Transactions on Cybernetics},
volume={52},
number={12},
pages={13821--13833},
year={2021},
publisher={IEEE}
}

@article{boyraz2008,
title={Multi-sensor driver drowsiness monitoring},
author={Boyraz, Pinar and Acar, Mustafa and Kerr, David},
journal={Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering},
volume={222},
number={11},
pages={2041--2062},
year={2008},
publisher={SAGE Publications Sage UK: London, England}
}

@article{sunagawa2019,
title={Comprehensive drowsiness level detection model combining multimodal information},
author={Sunaga, Masahiro and Shikii, Shintaro and Nakai, Wataru and Ito, Masahiro and Shimakawa, Hideto},
journal={IEEE Sensors Journal},
volume={20},
number={7},
pages={3709--3717},
year={2019},
publisher={IEEE}
}

@inproceedings{joshi2020,
title={In-the-wild drowsiness detection from facial expressions},
author={Joshi, Anirudh and Kyal, Shilpa and Banerjee, Shreya and Tanksale, Tejas and others},
booktitle={2020 IEEE Intelligent Vehicles Symposium (IV)},
pages={207--212},
year={2020},
organization={IEEE}
}

@article{bekhouche2022,
title={Driver drowsiness detection in video sequences using hybrid selection of deep features},
author={Bekhouche, Si Eddine and Ruichek, Yassine and Dornaika, Fadi},
journal={Knowledge-Based Systems},
volume={252},
pages={109436},
year={2022},
publisher={Elsevier}
}

@inproceedings{katsuki2020,
title={Learning to estimate driver drowsiness from car acceleration sensors using weakly labeled data},
author={Katsuki, Takehiro and Zhao, Kaige and Yoshizumi, Takayuki},
booktitle={ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={3002--3006},
year={2020},
organization={IEEE}
}

@article{ye2021,
title={Driver fatigue detection based on residual channel attention network and head pose estimation},
author={Ye, Mengjie and Zhang, Wei and Cao, Peng and others},
journal={Applied Sciences},
volume={11},
number={19},
pages={9195},
year={2021},
publisher={MDPI}
}

@article{shah2023,
title={Novel welch-transform based enhanced spectro-temporal analysis for cognitive microsleep detection using a single electrode EEG},
author={Shah, Jatin and Chougule, Aditya and Chamola, Vinay and others},
journal={Neurocomputing},
volume={549},
pages={126387},
year={2023},
publisher={Elsevier}
}

@article{qian2021,
title={Learning multimodal representations for drowsiness detection},
author={Qian, Kun and Koike, Tatsuya and Nakamura, Takashi and others},
journal={IEEE Transactions on Intelligent Transportation Systems},
volume={23},
number={8},
pages={11539--11548},
year={2021},
publisher={IEEE}
}

@article{yana2014,
title={An innovative nonintrusive driver assistance system for vital signal monitoring},
author={Yana, Sun and Xia, Yu},
journal={IEEE Journal of Biomedical and Health Informatics},
volume={18},
number={6},
pages={1932--1939}
}
